Bird Action Recognition in Wetlands using Deep Learning
Author:
Affiliation:
1. Department of Computers Technology, University of Alicante, Spain
2. Department of Ecology, University of Alicante, Spain
Funder
MCIN/AEI/10.13039/- 501100011033
HORIZON MSCA- 2021-SE-0
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3677525.3678681
Reference33 articles.
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3. Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data
4. Adrian Berenguer-Agullo, Javier Rodriguez-Juan, David Ortiz-Perez, and Jose Garcia-Rodriguez. 2024. Lightweight CNNs for Advanced Bird Species Recognition on the Edge. In International Work-Conference on the Interplay Between Natural and Artificial Computation. Springer, 95–104.
5. Alexey Bochkovskiy Chien-Yao Wang and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. arxiv:2004.10934 [cs.CV] https://arxiv.org/abs/2004.10934
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